Job Openings
Here we inform you about current job openings.
For a research project on modeling image processing mechanisms using neural networks, we are seeking a motivated student to join an interdisciplinary scientific team. Candidates should have prior knowledge of computer vision and machine learning, specifically training of deep neural networks. The role involves actively contributing to the development and implementation of solutions for automated visual search to detect structures in images.
If interested, please send a current transcript of records (TOR) to heiko.neumann@uni-ulm.de
1x PhD Position (TVöD E13) in Neuro-Symbolic AI
University of Ulm
Institute of Neural Information Processing
Faculty of Engineering, Computer Science and Psychology
Within the KEMAI Research Training Group (https://kemai.uni-ulm.de/), a doctoral position (E13, 100%) is being advertised with the topic "Neuro-Symbolic Reasoning for Medical Imaging." Project description: This project investigates reasoning-based approaches to medical image interpretation, using cancer staging from PET/CT as primary application domain. It addresses two complementary aspects. First, modularization: rather than learning the full mapping from images to clinical decisions end-to-end, we decompose the problem into individually learnable cause-effect pairs and compose them through explicit reasoning at inference time, exploring this as a strategy for generalization when the combinatorial space of possible cases far exceeds available training data. Second, explanation: we investigate how structured reasoning processes can generate not just predictions but candidate hypotheses with supporting and opposing evidence, serving as a reasoning scaffold that makes the system’s logic transparent and useful to clinicians. The project sits at the intersection of neuro-symbolic AI, medical imaging, and clinical decision support, with the broader aim of understanding where the boundary between learning and reasoning should lie in medical AI systems.
The University of Ulm is an equal opportunity employer: Handicapped individuals are strongly encouraged to apply, and so are women in areas in which they are underrepresented.
Candidates should send a CV and a brief statement of interest to
Prof. Dr. Dr. Daniel Alexander Braun daniel.braun@uni-ulm.de
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Prof. Dr. Dr. Daniel Alexander Braun
Institute of Neural Information Processing
Faculty of Engineering, Computer Science and Psychology
Ulm University
James-Franck-Ring
D-89081 Ulm
Germany
phone: +49 (0)731 50 - 24150
fax: +49 (0)731 50 - 24156
email: daniel.braun@uni-ulm.de